I am a postdoctoral researcher in theoretical condensed matter physics at MIT. My research explores strongly interacting quantum matter, including fractionalized phases, unconventional superconductivity, and other correlated states of electrons. I have worked on a range of systems and phenomena, including fractional Chern insulators, fractional quantum Hall states, moiré materials, and topological superconductivity. My work is motivated by a combination of theoretical curiosity and experimental developments in quantum materials.
I am generally interested in how topology, interactions, and quantum geometry give rise to new phases of matter. I also develop and use computational tools, including state-of-the-art exact diagonalization and neural-network variational Monte Carlo.
I am particularly interested in the application of artificial intelligence to quantum physics, especially as a way to develop new variational and computational approaches to the quantum many-body problem. More generally, I am interested in physics-informed neural networks and in methods that combine modern machine learning with physical principles, symmetries, and constraints of the real world at any scale.